Job Description: Role: Senior Azure Solution Engineer
Experience: 8+ years
Location: (Gurgaon preferably as base location)- 1-2 days In office
Experience: 8–12 years
Key Responsibilities (Primary):
This role requires a senior-level professional with advanced and specialized knowledge in cloud architecture, databases, programming concepts, and technology integrations. The primary responsibility is to design, deploy, and manage secure, scalable, and cost‑effective cloud infrastructure on Microsoft Azure, leveraging services across networking, compute, storage, and automation.
Experience / Skillset Requirements:
1.Create highly available, multi‑region cloud solutions using Azure services such as Virtual Machines, Web Apps, Storage, VNet, DNS, and Private Endpoints.
2.Set up integrations across Azure services including Azure Log Analytics, Azure ML, Foundry, Vector DB, and demonstrate familiarity with Azure Blob Storage, Azure Databricks, and Azure Data Factory functionalities.
3.knowledge of administering Azure environments, including provisioning, configuration, performance monitoring, policy governance, and security.
4.Experience in setting up version‑controlled CI/CD pipelines, preferably using Azure DevOps or Git.
5.Manage access controls, implement data‑protection policies, and ensure all cloud solutions meet security and compliance standards.
6.Must have experience leading a team of at least 5-10 members. Worked with the leadership team to discuss and implement the roadmap.
7.Excellent communication skills with a positive, proactive attitude. Self‑driven with strong analytical, problem‑solving, and collaboration skills for working across cross‑functional teams.
8.Good working knowledge of Python programming and SQL.
Nice to Have:
1.Hands‑on experience in setting up and implementing ETL data pipelines.
2.Experience with data mining architecture, modeling standards, reporting, and data analysis methodologies.
3.Knowledge of Marketing domain, preferably in a B2B environment.
4.Experience with PySpark.
5.Experience with BI/Reporting tools such as Power BI or Tableau.
6.Experience with AI/ML workloads in Azure..
Responsibilities: This role requires a senior-level professional with advanced and specialized knowledge in cloud architecture, databases, programming concepts, and technology integrations. The primary responsibility is to design, deploy, and manage secure, scalable, and cost‑effective cloud infrastructure on Microsoft Azure, leveraging services across networking, compute, storage, and automation.
